摘要
对全国重点文物保护单位马尾轮机厂建立结构健康监测系统,实时监控、预警马尾城区地铁施工对文物建筑本体的影响。通过对相关文献进行对比分析,提出倾斜、挠度和裂缝的监测预警值,根据现场实测数据和人工观测对不均匀沉降和振动的预警值取值进行研究,提出基于多类型监测数据和人工观测结果的轮机厂预警机制,实现了地铁施工扰动下文物建筑的预警和评估。研究结果表明:地铁施工扰动下的文物建筑不均匀沉降和振动监测预警应充分考虑各类型测点实测数据和人工观测结果,本文所建立的轮机厂监测系统和预警机制可以有效预警、评估地铁施工对文物建筑的影响。
A structural health monitoring system has been established for Mawei Turbine Plant,a national key cultural relics protection unit,to monitor and warn the impact of subway construction in Mawei city on the body of cultural relics buildings in real time.Based on the comparative analysis of relevant literature,the monitoring and early warning values of inclination,deflection and cracks are proposed.The early warning values of uneven settlement and vibration are studied through field measured data and manual observation,and the early warning mechanism of the turbine plant based on multi-type monitoring data and manual observation results is proposed to realize the early warning and evaluation of cultural relics buildings under the disturbance of subway construction.The results show that the monitoring and early warning of uneven settlement and vibration of cultural relics buildings under the disturbance of subway construction should fully consider the measured data and manual observation results of various types of measuring points.The monitoring system and early warning mechanism established in this paper can effectively early warning and evaluate the impact of subway construction on cultural relics buildings.
作者
杨伟
吴铭昊
张羽
朱铭基
Yang Wei;Wu Minghao;Zhang Yu;Zhu Mingji(Fujian Academy of Building Research Co.Lid,Fuzhou 350018,China;Fujian Provincial Key Laboratory of Green Building Technology,Fuzhou 350018,China;College of Civil Engineering,Fujian University of Technology,Fuzhou 350118,China;CSCEC Strait Construction and Development Co.Ltd,Fuzhou 350015,China)
出处
《建筑科学》
CSCD
北大核心
2023年第11期166-174,共9页
Building Science
基金
福建省社会发展引导性(重点)项目资助(2022Y0047)
福建省建筑科学研究院有限责任公司重点研发项目(KY20230026)。
关键词
马尾轮机厂
文物建筑
预警值
健康监测
Mawei Turbine Plant
cultural relic architecture
early warning value
health monitoring